Overview

Dataset statistics

Number of variables6
Number of observations1000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory47.0 KiB
Average record size in memory48.1 B

Variable types

Numeric6

Alerts

C/A is highly overall correlated with X and 2 other fieldsHigh correlation
POX/M is highly overall correlated with MnHigh correlation
X is highly overall correlated with C/A and 1 other fieldsHigh correlation
Mn is highly overall correlated with C/A and 1 other fieldsHigh correlation
POX/C is highly overall correlated with PDIHigh correlation
PDI is highly overall correlated with POX/C and 2 other fieldsHigh correlation
POX/C has unique valuesUnique
C/A has unique valuesUnique
POX/M has unique valuesUnique
X has unique valuesUnique
PDI has unique valuesUnique
Mn has unique valuesUnique

Reproduction

Analysis started2024-03-14 13:06:22.391903
Analysis finished2024-03-14 13:06:31.839601
Duration9.45 seconds
Software versionydata-profiling vv4.6.5
Download configurationconfig.json

Variables

POX/C
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct1000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean144.31861
Minimum90.909091
Maximum200
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.9 KiB
2024-03-14T10:06:31.981223image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum90.909091
5-th percentile116.63637
Q1132.94685
median144.33252
Q3155.67973
95-th percentile172.03977
Maximum200
Range109.09091
Interquartile range (IQR)22.732875

Descriptive statistics

Standard deviation16.880969
Coefficient of variation (CV)0.11697015
Kurtosis-0.02665933
Mean144.31861
Median Absolute Deviation (MAD)11.392887
Skewness0.004079331
Sum144318.61
Variance284.96712
MonotonicityNot monotonic
2024-03-14T10:06:32.192658image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.0668847 1
 
0.1%
145.0829309 1
 
0.1%
163.3507459 1
 
0.1%
147.0481316 1
 
0.1%
164.0004918 1
 
0.1%
115.7533967 1
 
0.1%
149.9821804 1
 
0.1%
151.7046537 1
 
0.1%
114.0898242 1
 
0.1%
133.3116111 1
 
0.1%
Other values (990) 990
99.0%
ValueCountFrequency (%)
90.90909091 1
0.1%
93.68727904 1
0.1%
97.16528533 1
0.1%
98.84349409 1
0.1%
100.0845138 1
0.1%
101.2138492 1
0.1%
102.7333618 1
0.1%
103.4003799 1
0.1%
103.9057908 1
0.1%
104.7996913 1
0.1%
ValueCountFrequency (%)
200 1
0.1%
195.836886 1
0.1%
191.8511391 1
0.1%
189.3555627 1
0.1%
188.5013372 1
0.1%
187.2308636 1
0.1%
186.0548743 1
0.1%
185.7724382 1
0.1%
184.3077447 1
0.1%
184.1358495 1
0.1%

C/A
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct1000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.11847689
Minimum0.025
Maximum0.22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.9 KiB
2024-03-14T10:06:32.377164image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0.025
5-th percentile0.070883215
Q10.098979303
median0.11844542
Q30.13796221
95-th percentile0.16584282
Maximum0.22
Range0.195
Interquartile range (IQR)0.038982906

Descriptive statistics

Standard deviation0.02896727
Coefficient of variation (CV)0.24449721
Kurtosis-0.00013490001
Mean0.11847689
Median Absolute Deviation (MAD)0.019518894
Skewness0.0045588414
Sum118.47689
Variance0.00083910271
MonotonicityNot monotonic
2024-03-14T10:06:32.558678image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1309863058 1
 
0.1%
0.1720202696 1
 
0.1%
0.1131752478 1
 
0.1%
0.1306141805 1
 
0.1%
0.07831105352 1
 
0.1%
0.06549399871 1
 
0.1%
0.1794428717 1
 
0.1%
0.1258356997 1
 
0.1%
0.1158224977 1
 
0.1%
0.08631714299 1
 
0.1%
Other values (990) 990
99.0%
ValueCountFrequency (%)
0.025 1
0.1%
0.0304113615 1
0.1%
0.03672064228 1
0.1%
0.03918497954 1
0.1%
0.04279922505 1
0.1%
0.04512005371 1
0.1%
0.04709442114 1
0.1%
0.0474207899 1
0.1%
0.04977593697 1
0.1%
0.05109712931 1
0.1%
ValueCountFrequency (%)
0.22 1
0.1%
0.2025468346 1
0.1%
0.1984406953 1
0.1%
0.1964829435 1
0.1%
0.1952468759 1
0.1%
0.1919684995 1
0.1%
0.1906857951 1
0.1%
0.1892182141 1
0.1%
0.1872116089 1
0.1%
0.1866696008 1
0.1%

POX/M
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct1000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.001454052
Minimum0.000831429
Maximum0.002
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.9 KiB
2024-03-14T10:06:32.821975image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0.000831429
5-th percentile0.0011702986
Q10.0013378531
median0.0014541444
Q30.0015705094
95-th percentile0.0017379874
Maximum0.002
Range0.001168571
Interquartile range (IQR)0.00023265626

Descriptive statistics

Standard deviation0.00017269564
Coefficient of variation (CV)0.11876854
Kurtosis0.0070253818
Mean0.001454052
Median Absolute Deviation (MAD)0.00011650578
Skewness-0.014323155
Sum1.454052
Variance2.9823784 × 10-8
MonotonicityNot monotonic
2024-03-14T10:06:33.007479image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.001436623456 1
 
0.1%
0.001060824282 1
 
0.1%
0.001620593811 1
 
0.1%
0.001354544091 1
 
0.1%
0.001546232503 1
 
0.1%
0.000831429 1
 
0.1%
0.001592451802 1
 
0.1%
0.001332547323 1
 
0.1%
0.001589109008 1
 
0.1%
0.001560519623 1
 
0.1%
Other values (990) 990
99.0%
ValueCountFrequency (%)
0.000831429 1
0.1%
0.0009342051028 1
0.1%
0.0009672779537 1
0.1%
0.0009925032256 1
0.1%
0.00100927487 1
0.1%
0.001014111025 1
0.1%
0.001022983167 1
0.1%
0.001038098451 1
0.1%
0.001040853278 1
0.1%
0.001051836304 1
0.1%
ValueCountFrequency (%)
0.002 1
0.1%
0.001955738912 1
0.1%
0.001949505357 1
0.1%
0.00191535218 1
0.1%
0.00190395122 1
0.1%
0.001895405973 1
0.1%
0.001886300902 1
0.1%
0.001876707079 1
0.1%
0.001865638919 1
0.1%
0.00185781745 1
0.1%

X
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct1000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.68545205
Minimum0.53506242
Maximum0.91100748
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.9 KiB
2024-03-14T10:06:33.177026image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0.53506242
5-th percentile0.60997333
Q10.65056322
median0.68300846
Q30.71496441
95-th percentile0.77443192
Maximum0.91100748
Range0.37594506
Interquartile range (IQR)0.064401197

Descriptive statistics

Standard deviation0.050885809
Coefficient of variation (CV)0.074236862
Kurtosis0.86327772
Mean0.68545205
Median Absolute Deviation (MAD)0.032064544
Skewness0.54316729
Sum685.45205
Variance0.0025893655
MonotonicityNot monotonic
2024-03-14T10:06:33.365521image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6754157404 1
 
0.1%
0.5720696681 1
 
0.1%
0.688840558 1
 
0.1%
0.6542870346 1
 
0.1%
0.7487879389 1
 
0.1%
0.7445375051 1
 
0.1%
0.6115959946 1
 
0.1%
0.6551776062 1
 
0.1%
0.713289601 1
 
0.1%
0.7527358889 1
 
0.1%
Other values (990) 990
99.0%
ValueCountFrequency (%)
0.5350624212 1
0.1%
0.5504530675 1
0.1%
0.5618976216 1
0.1%
0.5678749894 1
0.1%
0.5680774178 1
0.1%
0.5720696681 1
0.1%
0.5787676628 1
0.1%
0.5803873801 1
0.1%
0.5852542549 1
0.1%
0.5859471592 1
0.1%
ValueCountFrequency (%)
0.9110074787 1
0.1%
0.8889685875 1
0.1%
0.8679051001 1
0.1%
0.8582428739 1
0.1%
0.8576189315 1
0.1%
0.8515135341 1
0.1%
0.8426440384 1
0.1%
0.8356958213 1
0.1%
0.83361774 1
0.1%
0.8321809153 1
0.1%

PDI
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct1000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0311085
Minimum1.0278006
Maximum1.0593777
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.9 KiB
2024-03-14T10:06:33.543047image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum1.0278006
5-th percentile1.0287703
Q11.0297702
median1.030688
Q31.0318541
95-th percentile1.0345165
Maximum1.0593777
Range0.031577067
Interquartile range (IQR)0.0020838284

Descriptive statistics

Standard deviation0.0022905659
Coefficient of variation (CV)0.0022214596
Kurtosis35.432756
Mean1.0311085
Median Absolute Deviation (MAD)0.0010078104
Skewness4.1582999
Sum1031.1085
Variance5.246692 × 10-6
MonotonicityNot monotonic
2024-03-14T10:06:33.717580image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.028852994 1
 
0.1%
1.031793774 1
 
0.1%
1.030978661 1
 
0.1%
1.030146578 1
 
0.1%
1.032243733 1
 
0.1%
1.037159047 1
 
0.1%
1.030671031 1
 
0.1%
1.030686769 1
 
0.1%
1.029233019 1
 
0.1%
1.031244161 1
 
0.1%
Other values (990) 990
99.0%
ValueCountFrequency (%)
1.027800633 1
0.1%
1.027852798 1
0.1%
1.027867157 1
0.1%
1.028011181 1
0.1%
1.02803256 1
0.1%
1.028054481 1
0.1%
1.02813225 1
0.1%
1.028162438 1
0.1%
1.028169533 1
0.1%
1.028169591 1
0.1%
ValueCountFrequency (%)
1.059377699 1
0.1%
1.05244385 1
0.1%
1.046915388 1
0.1%
1.044379218 1
0.1%
1.043920553 1
0.1%
1.043158656 1
0.1%
1.04030156 1
0.1%
1.039675586 1
0.1%
1.039115159 1
0.1%
1.039108215 1
0.1%

Mn
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct1000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51530.717
Minimum33473.644
Maximum99889.759
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.9 KiB
2024-03-14T10:06:33.882139image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum33473.644
5-th percentile41970.111
Q146792.778
median50713.347
Q355345.662
95-th percentile64122.68
Maximum99889.759
Range66416.115
Interquartile range (IQR)8552.8841

Descriptive statistics

Standard deviation6958.5414
Coefficient of variation (CV)0.13503677
Kurtosis2.9986077
Mean51530.717
Median Absolute Deviation (MAD)4311.2966
Skewness1.0322096
Sum51530717
Variance48421298
MonotonicityNot monotonic
2024-03-14T10:06:34.049691image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50658.64639 1
 
0.1%
57447.84631 1
 
0.1%
45611.3567 1
 
0.1%
51790.30771 1
 
0.1%
52584.23521 1
 
0.1%
99889.7587 1
 
0.1%
40879.84779 1
 
0.1%
52713.51495 1
 
0.1%
48786.92532 1
 
0.1%
52686.34536 1
 
0.1%
Other values (990) 990
99.0%
ValueCountFrequency (%)
33473.64402 1
0.1%
37497.83683 1
0.1%
37557.37724 1
0.1%
37994.72351 1
0.1%
38010.92935 1
0.1%
38332.90934 1
0.1%
38463.42347 1
0.1%
38665.0368 1
0.1%
38712.93689 1
0.1%
39015.90306 1
0.1%
ValueCountFrequency (%)
99889.7587 1
0.1%
79785.31767 1
0.1%
79048.91427 1
0.1%
78457.88414 1
0.1%
76430.63684 1
0.1%
75044.54197 1
0.1%
74938.23813 1
0.1%
74930.42692 1
0.1%
74582.50714 1
0.1%
73469.29111 1
0.1%

Interactions

2024-03-14T10:06:30.812351image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-14T10:06:26.632529image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-14T10:06:27.529130image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-14T10:06:28.444714image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-14T10:06:29.278483image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-14T10:06:30.045402image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-14T10:06:30.934058image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-14T10:06:26.790108image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-14T10:06:27.672746image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-14T10:06:28.562366image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-14T10:06:29.399131image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-14T10:06:30.168074image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-14T10:06:31.073679image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-14T10:06:26.949684image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-14T10:06:27.837343image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-14T10:06:28.693020image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-14T10:06:29.535764image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-14T10:06:30.309694image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-14T10:06:31.196321image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-14T10:06:27.092330image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-14T10:06:28.005858image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-14T10:06:28.817684image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-14T10:06:29.669408image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-14T10:06:30.433362image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-14T10:06:31.322985image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-14T10:06:27.243896image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-14T10:06:28.170418image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-14T10:06:29.029120image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-14T10:06:29.791114image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-14T10:06:30.560025image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-14T10:06:31.443662image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-14T10:06:27.385514image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-14T10:06:28.315031image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-14T10:06:29.151823image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-14T10:06:29.919738image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-14T10:06:30.687683image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Correlations

2024-03-14T10:06:34.161393image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
POX/CC/APOX/MXPDIMn
POX/C1.0000.011-0.011-0.2520.418-0.177
C/A0.0111.000-0.003-0.920-0.438-0.583
POX/M-0.011-0.0031.0000.256-0.150-0.763
X-0.252-0.9200.2561.0000.3570.406
PDI0.418-0.438-0.1500.3571.0000.395
Mn-0.177-0.583-0.7630.4060.3951.000
2024-03-14T10:06:34.302016image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
POX/CC/APOX/MXPDIMn
POX/C1.000-0.013-0.012-0.2350.634-0.155
C/A-0.0131.000-0.002-0.920-0.430-0.573
POX/M-0.012-0.0021.0000.256-0.198-0.766
X-0.235-0.9200.2561.0000.1820.366
PDI0.634-0.430-0.1980.1821.0000.316
Mn-0.155-0.573-0.7660.3660.3161.000
2024-03-14T10:06:34.437654image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
POX/CC/APOX/MXPDIMn
POX/C1.000-0.009-0.009-0.1580.497-0.105
C/A-0.0091.000-0.002-0.758-0.339-0.402
POX/M-0.009-0.0021.0000.174-0.133-0.575
X-0.158-0.7580.1741.0000.1440.251
PDI0.497-0.339-0.1330.1441.0000.217
Mn-0.105-0.402-0.5750.2510.2171.000
2024-03-14T10:06:34.577281image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
POX/CC/APOX/MXPDIMn
POX/C1.0000.0580.2540.4840.5190.102
C/A0.0581.0000.0000.9490.7400.513
POX/M0.2540.0001.0000.3500.1210.737
X0.4840.9490.3501.0000.8220.445
PDI0.5190.7400.1210.8221.0000.488
Mn0.1020.5130.7370.4450.4881.000

Missing values

2024-03-14T10:06:31.608222image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T10:06:31.760814image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

POX/CC/APOX/MXPDIMn
0127.0668850.1309860.0014370.6754161.02885350658.646392
1140.3152790.1077080.0012380.6842341.03052059674.301485
2137.2519110.0965950.0012810.7106951.03081260219.372697
3134.1137510.1172530.0015200.6956891.02944149400.873103
4163.7905780.1127310.0017660.6980161.03068242424.024049
5132.9905220.0594590.0014990.8112361.03672860333.109730
6126.9745420.1545650.0012630.6323461.02899453691.442367
7120.1162060.1475830.0013810.6551361.02838551037.181235
8130.6640750.1239890.0012300.6664011.03028058421.019930
9136.4978680.1321530.0013580.6610461.02949852297.434261
POX/CC/APOX/MXPDIMn
990104.7996910.1210890.0013630.7009951.02930756018.010656
991158.9484480.0625290.0014710.7849461.03430758611.719217
992123.5273440.0574580.0015930.8260511.03795058294.491749
993128.2543670.1307180.0013070.6656481.02911354874.698538
994137.2936450.1521940.0018660.6620291.02969037994.723509
995146.2709310.1341240.0012690.6418541.03109654201.338756
996136.8313590.1401400.0012480.6402001.02976855026.316024
997149.0614830.1572160.0013990.6223801.03124147480.431021
998157.5401660.1209730.0014690.6697261.03077148876.869906
999170.3452500.1555310.0012440.5900591.03451150435.916510